Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

Jumar Solutions
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer - Reigate

Lead Data Engineer - Edinburgh

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Job Title: Lead Data EngineerRole Type: PermanentLocation: Birmingham (Hybrid)Our client is seeking an experienced Lead Data Engineer or a Data Engineer aspiring to step into a lead position.Role OverviewAs the Data Engineer, you will be responsible for a team of data engineers, analysts and leveraging your expertise in Microsoft BI tools and cloud-based technologies to drive their data initiatives. You will play an integral role in guiding the team, developing curated business models, and utilising Azure services to optimise our data infrastructure.Key ResponsibilitiesProvide leadership, guidance, and support to team members, ensuring the successful execution of projects and tasks.Mentor and support the wider business, including Business Intelligence teams, to leverage data for decision-making using PowerBI and other Microsoft tools.Collaborate with cross-functional teams to achieve common business goals.Develop and maintain curated business models to support accurate and insightful decision-making.Ensure data security, compliance, and best practices are followed in Azure cloud environments.Essential SkillsExpertise in the Microsoft BI stack, including SSRS, SSAS, and SSIS.Hands-on experience with Azure Synapse, Azure Data Factory, and other Azure cloud services.Strong analytical and problem-solving skills, with the ability to turn complex data into actionable insights.Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.Demonstrated ability to design and implement curated business models for reporting and analysis.If you are a skilled Lead Data Engineer or a Data Engineer aspiring to become a lead, we would like to hear from you. Apply now

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.